d100: 200 machine learning companies from Alexa 1M

Machine learning companies:

Ember is focused on shifting TV ad budgets towards online video. Right now, there is limited transparency in online video. Advertisers know where their ads are going on TV, yet are reluctant to spend their budgets towards online video due to the lack of transparency. However, Ember has created fine-tuned machine learning algorithms, contextual and semantic engines to ensure brand safety, placement and stronger ROI, and an RTB platform to optimize ad spends.

GonnaBe is your social life concierge. Our social lives are scattered and noisy. GonnaBe helps us see all of our options in one place and coordinate with a tap: specials, events, and most importantly our friends’ plans around town. Curation, machine learning, algorithms, and brand partnerships enable GonnaBe to deliver only the most relevant content to each user. Like Zite or Flipboard for your social life. And we’ve invented a groundbreaking Future Map – like a crystal ball for your social life. Download the app and check it out. Available on the App Store, and the Android version is in production.

Industry: Hotels, Restaurants & Leisure
FocusMotion lets software and hardware developers start recognizing and identifying human movements in seconds for any OS on any wearable. We provide instant access to complex machine learning and signal processing capabilities, and alleviate the pain point of human data entry. We provide a method for automated tracking for Training, Recovery, Corporate Wellness, and Healthcare implementations in an evolving $9B space. We’re building the world’s largest, most comprehensive database on human movement.

Industry: Software
CyberFlow Analytics has coined the expression “Anomalytics” to describe a new continuous threat detection system using security analytics for anomaly detection. The new FlowScape technology uses machine learning to learn the behavior of clients, servers, applications and protocols on a network segment or attack surface. Through multi-model analytics with fusion and advanced visualization, the system identifies high risk threat behaviors in real-time. The new cyber security analytics has proven itself in the core of large scale networks where it detects threat risks such as employee policy violations and low-slow sophisticated breach activity (APTs). The product is completely virtualized and runs in Docker Containers for economies of scale and is a new big data streaming analytics technology that operates on a small infrastructure footprint. FlowScape augments traditional security tools such as SIEM, Firewalls and Splunk.

Deep Glint delivers intelligent video surveillance solutions for banks and shopping centers. We use 3D computer vision and machine learning technologies to effectively perform human detection, tracking, motion analysis, and trajectory analysis. Based on the results, our system provides a range of features including automatic alarm upon detection of abnormal behavior such as violence, intelligent prioritization of footage display, and search of human actions taken during a specific time period.

Swogo is the world’s first automated bundle solution for e-commerce retailers. Swogo helps the world’s largest retailers increase their online sales, including Tesco, Media Markt and Rakuten. “We noticed a massive shift in e-commerce – as the market becomes more competitive, profit margins are shrinking and the CPA is rising. As a result, e-commerce retailers are shifting to increase AOV by offering bundles. Until now, all solutions have been manual and ineffective.” Anthony Ng Monica, CEO. Swogo’s technology creates the most relevant bundles based on compatibility and purpose. In order to maximise sales, their machine learning algorithms take into account profit margins, availability, customer behaviour, and more. Swogo is headquartered in London.

Industry: Biotechnology
Molcure is antibody-drug-focused biopharmaceutical company whose passionate associates are dedicated to improving the lives of patients by developing and providing more effective therapeutics and supportive care products. Molcure represents high quality antibody and target discovery. With cutting edge technology in-house, Molcure is the partner of choice for therapeutic antibody discovery. At Molcure we combine a deep knowledge of NGS, bioinformatics and antibody biology with automated discovery system. The antibody discovery platform Abtracer delivers superior functional antibodies. Our technology is validated through a number of partnerships. Abtracer is a patent pending, rapid antibody engineering system which combines the Phage Display technique and next generation sequencing. We can design DNA sequence of antibodies with high-affinity and high-specificity by NGS-analysis of antibody DNA sequences using machine learning algorithm.

Beebrite is a company that researches and develops technology that helps improve brain performance and intelligence of people around the world. We combine the best techniques from machine learning and neuroscience to build powerful algorithms for our brain training engine, Neurohex™. Our main product is Beebrite Edu, an intelligence stimulation program aimed at children between 7 and 16 years of age.

righTune inspires emotional engagement between brands and their potential consumers by playing relevant, personalized background music on websites. This subtle yet ubiquitous ambiance adds a deep emotional dimension to a site’s content, which directly impacts consumer behavior and increases revenue. In fact, righTune takes the widely-accepted concept of in-store music used and leverages it for the online world. We even take it one step further; while playing music, righTune patented technology tracks users behavior and engagement levels on the website. We use behavioral, machine learning algorithm that continually updates the music for new users according to de facto business results. Our customers indicate ~10% increase in key business metrics.

Predictry provides a machine learning technology envisaging user preferences, sentiments & behavior. Founded in 2013, it offers online Recommendation as a Service (RaaS), customised solutions for predictive analytics, big data mining services and business intelligence for any kind of industry. Predictry’s main advantage lies in its ability to customise SaaS recommendations for any types of e-commerce or web listing business. Think of it as an Amazon-like product recommender that could be customised to whatever you are selling or listing online. Considering that we were able to employ multiple analytics tools, constantly reviewed by conversant data scientists. With it’s proprietary A/B algorithm testing method and the ability to go right down to the mathematical formulas of the algorithm, the team at Predictry ensures that this highly scalable recommendations is always fine-tuned to each specific customer, with the goal of improving conversation rate and/or sales to your business.

Industry: Software
Boomtrain is a personalized notification platform that leverages machine learning and predictive algorithms to drive increased clicks, engagement and revenue through customer communications. Our technology surfaces the content that’s most likely to engage any individual and delivers it via email, push notifications, or the web. All automated, all in real-time.

Industry: Media
AdRoll was named the fastest growing private company by Inc magazine this year. We’re the first company to bring real-time advertising to companies of all sizes by building the first self-service, intuitive UI. We’re working on ton of interesting projects. We’re in the unique position of working with big data and applying machine learning and mining in real-time. We manage 1B requests/day and respond under 25ms. We make heavy use of Python, Backbone.js, Java/Hadoop/HBase, Erlang, and AWS.

AfterCollege is the largest career network for students & recent grads. Our mission is to help college students and recent grads find the right jobs and internships by connecting them with employers. We’re using machine learning and data analytics to help students discover relevant opportunities and to help employers identify the right entry-level talent.

Industry: Software
It’s Time for a New Calendar. One that doesn’t merely record the things you need to do, but actually helps you do them. Mynd is an intelligent mobile calendar & time management solution designed for busy people on the go. It was named one of the “Ten Best iOS Calendar Apps” by The Next Web & has been featured on NBC’s Today Show, CBS, CNN, Forbes, Wired, CNET, FastCompany & more. Mynd is incredibly easy to set-up and syncs seamlessly with your existing calendar(s), but it does much more than a conventional calendar. It uses adaptive machine learning to help you become effortlessly efficient. It acts like a virtual assistant getting smarter the more you use it and working behind the scenes to save you time, manage your goals, prepare you for meetings, & get you from point A to B on time. When you replace your usual calendar with Mynd, within a week, Mynd will learn your daily commute & regular meeting spots so that it can start providing accurate drive times to your next destination.

Interesante is a content discovery engine for spanish speaking audiences. It’s a single place to discover, collect, and share content you care about. It combines machine learning, user experience design, and interaction design to create a new way to discover, consume, and share media. Interesante integrates with Facebook, Google, and Twitter to gather information about user’s interests and suggest the most relevant stories to read. Our software applies algorithms to filter the content that aligns with the interests of a specific reader. We are creating a mobile first platform. Content can be consumed over a web mobile browser so that all feature phones are covered, where most of the next billion internet users in Latin America will be coming from. To provide the most relevant content, we are aggregating content from big and niche media sites and we’re also providing features like Bookmarking browser tools and mobile uploads so users can generate content as well.

Industry: Media
Check out how we succeeded by using AI, machine learning, and big data to displace human decision-making in advertising, taking us from founding to IPO and nearly a quarter billion in revenue in just 6 years. Rocket Fuel’s powerful Marketing that Learns platform is cutting edge technology and our Machine Learning and AI Teams are implementing new capabilities daily. Our innovations make display, mobile, video, and social learn from one another, and apply an always-on learning approach to span the entire customer lifecycle.

Industry: Diversified Financial Services
BTCjam is the first international crowd-lending platform. We are making credit affordable and accessible on a global scale. We provide a borrower anywhere in the world access to a fair loan using crowdsourced capital and the digital mobility of Bitcoin. With users in 200 countries we are redefining how people interact with financial services across the world by connecting borrowers in developing countries with investors in developed countries – no banks involved! Using contemporary data sources in a machine learning algorithm, we’ve created a credit scoring model that outperforms industry standards.

Wiser’s mission statement is to “bring the wisdom of Amazon to the rest of the retail world.” Wiser powers retailers in the online and brick and mortar spaces (Petsmart, HomeDepot, Ruelala, Petco, AT&T, Verizon, eBay, 3M, Moosejaw, Dell, and more). Wiser’s suite of products offers the following solutions: dynamic pricing, merchandising, assortment, inventory planning, and forecasting. — Wiser is a dynamic pricing optimization engine that monitors, analyzes, and reprices retail products in real-time. With automated pricing and easy sync, it enables online retailers to optimize their revenue and profit. Wiser not only arms retailers with pricing intelligence and repricing, but is also innovating on the cutting edge of eCommerce pricing. Wiser empowers retailers with advanced tools such as assortment optimization, demand elasticity engines (multi-factor estimation and cross-product elasticity to name a few) and machine learning algorithms that maximize sales while maintaining margins.

DataFox (www.datafox.co) is a deal-sourcing and research platform covering private technology companies. Harnessing the latest in Stanford’s machine learning and natural language processing algorithms, DataFox organizes information about more than 500,000 companies. The platform helps people in sales, business development, and finance find new prospects, compare and track groups of companies, and share new insights within teams more efficiently than ever before. DataFox is Google Ventures-backed and proudly counts top firms such as GE, Samsung, and Silicon Valley Bank as customers.

Industry: Software
Building Robotics is changing the way people interact with commercial buildings by developing cutting-edge software solutions that increase comfort and optimize building systems. Our main product, Comfy, is software that enables a better relationship between people and their workspaces. Comfy provides instant streams of warm or cool air to people, while using machine learning in the background to reduce energy use. It can be installed quickly, connecting to an existing building’s hardware and software, providing users with a simple web and mobile interface.

Industry: Software
We help companies grow Repeat & Recurring Revenue from their existing customers. We do this by using analytics and machine learning to predict which customers are most likely buyers of a specific aftermarket product, service or cross-sell and upsell offerings. Entytle’s SaaS identifies “incipient orders” from end-users before they make a decision – thereby allowing our customers to connect with them and recapture revenue that would likely be lost to competitors or third party providers.

Industry: Health Care Providers & Services
Founded by UCSF scientists and Stanford and Cambridge technologists, our mission is using big data to understand the human microbiome. We’re all covered in trillions of bacteria. We help consumers and organizations understand what they are and what they do. We’re using tools like machine learning, bioinformatics, crowdsourcing, Illumina Hi-Seq, and robots. uBiome addresses a massive need: dozens of conditions are correlated with the human microbiome (asthma, diabetes, irritable bowel, heart disease, etc.). We are the first and only big data company focused on the microbiome. Our product accomplishes two goals: 1) allowing consumers access to their microbiome to learn about their bodies, perform experiments, and see how current studies apply to them 2) allowing organizations to learn about the microbiome at scale.

Industry: Software
Kimerick Technologies is a hedge fund software company predicting market prices from deep belief networks and machine learning. Research and development in quantum finance. Software: Deep belief neural network predictive financial trading software capable of retrieving quantitative and qualitative data. It is an automated system capable of trading liquid securities throughout global derivatives market. Asset allocation/risk modeling is employed for optimum portfolio management. Beliefs: Machine learning, when extended with algorithmic trading, allows for dynamic systems and networks to be analyzed in meaningful ways. Prediction models that can interpret stochastic data are the most useful when it comes to making effective trades.

Industry: Software
WhoKnows is the first smart enterprise network that powers a culture of cooperation throughout your company. First, our discovery platform can automatically derive expertise and relationships, and we’ve proven that over 90% of our users publish what we discover compared to 5% participation that most social platforms offer. Secondly, WhoKnows can contextually recommend the best colleague to provide answers or warm intros in any web app, CRM, or search engine, so you don’t have to change how you work. This combination of user-supervised machine learning and contextual recommendations will finally unlock all that tacit knowledge and relationships within your company and accelerate your growth.

Timecros makes your digital life sharable through timelines. We provide a platform where individual users can have multiple timelines telling different stories of their lives, so that users can share timelines only to people who are relevant, and follow the timelines they are involved or interested in. Technologies including machine learning and artificial intelligence are backing up the concept and vision of Timecros.

Industry: Software
Citrine Informatics is dedicated to solving one of the greatest scientific & economic challenges facing society today: How to rapidly invent and manufacture novel materials with desired properties. Our approach is unique in the materials industry: Instead of building traditional research labs and factories, we are an all-software company that aggregates huge quantities of materials data and uses these data to develop machine learning models of materials behavior. These models then guide our partners in academia and industry toward blockbuster materials. We aim to make breakthrough discoveries in areas ranging from energy (batteries, photovoltaics) to aerospace (superalloys, heat shields) to electronics (screen coatings, transparent conductors).

Industry: Software
gazeMetrix empowers brands with insight into when and where their brand was photographed across social media in real-time. Using proprietary computer vision and machine learning algorithms, gazeMetrix accurately analyzes user-created photos on Instagram and identifies when a brand is featured. Brands discover their latest photos instantly. We automatically pick up the ‘most popular pictures’ and they can share them on their fan page/ Pinterest boards or twitter streams.

The video content on web has gone through an explosive growth which doesn’t show any signs of slowing down. But the amount of time and tools the end-users have available to discover and consume this ever growing video content have not changed much. ClipMine is working on radically enhancing the end-user’s ability to consume video content by understanding it better and building the tools to deliver it to the users in a personalized manner. We are seed-funded and hiring specialists in the areas of video content analysis, machine learning, building large scale web services as well as full-stack software developers. Get in touch with us (info@clipmineinc.com) to learn more.

Coinalytics is a venture-backed startup based in Palo Alto pursuing the mission of “providing real-time intelligence for decentralized blockchain platforms”. Coinalytics’ unique approach applies advanced machine learning and state-of-the-art distributed systems to cryptographic platforms, enabling enterprises to derive real-time business intelligence and risk assessment from blockchains and decentralized applications. Right at the intersection of the blockchain, Big Data and artificial intelligence, the platform employs advanced pattern recognition methodologies and real-time online learning to mine pseudonymous data with sparse features. Coinalytics has designed its data infrastructure to scale-out and deal with the scope of any decentralized network, providing business and risk intelligence on transactions in real-time, even before getting confirmed by the Bitcoin network.

What happens after you click the Buy button? Narvar believes a good customer experience shouldn’t end once a purchase is made. Customers demand convenient shipping, tracking, and returns options. Not only that, customers expect a seamless experience throughout the shopping journey across different applications and devices. We pride ourselves in making the complicated seem amazingly simple. Our powerful enterprise platform leverages the latest machine learning built on a SaaS framework to enable rapid deployment and continuous optimization. It interfaces with e-commerce platforms and carriers around the world to deliver deep supply chain analysis and flexible post-purchase options. Narvar translates all this into a seamless experience tailored for each brand that drives customer engagement.

Americans lose $19 billion each year due to bad financial advice. Regulators are cracking down on advisors to make more suitable investments. Data Simply investment scoring technology protects investors and advisors. We know it’s a problem before they do. We take vast amounts of company and securities data. Our algorithms evaluate fundamentals, changes, and events with NLP and machine learning. We assign securities suitability scores based on various investor needs: principal loss, liquidity, time horizon, and income. We deliver it as machine readable “data as a service”. Firms access the service from our api which they see and control from a dashboard. They use it to evaluate securities for buy lists and monitor client portfolios. This lets them know when they should change a portfolio or contact a client. Is LL melting down? AT&T reducing dividends? Many firms do onboarding well but struggle with monitoring. Our solution provides an easier, standard way to handle it at scale.

We’re building a mobile, realtime communication platform that instantaneously connects consumers stuck on a problem with the experts most qualified to assist them. Need help? Simply speak or type a question in plain English. We’ve trained natural language processing algorithms and large classifiers to extract relevant skills from your question, and match you with the right expert on the spot, via audio, video, text, photo sharing, screen sharing and white-boarding. Lots of work ahead: WebRTC for voice and video, image processing, video archival, natural language processing, machine learning, and graph algorithms, all operating at a large scale. We’re initially solely focused on mobile platforms (iOS, Android), and are building our backend in Scala, using the Play Framework, Slick, and Akka for concurrency at scale.

Industry: Software
Aviso is transforming the way that executives make decisions to manage revenue assets, mitigate risk, and refine forecasts. Aviso’s Total Revenue Intelligence cloud applications use advanced machine learning algorithms and portfolio management frameworks to generate scenarios, predict outcomes, and understand risks, enabling CEOs, CFOs and all executives responsible for revenue to make better decisions that drive revenue growth. Founded in 2012 and headquartered in Mountain View, Aviso’s investors include Shasta Ventures, First Round Capital, Cowboy Ventures, and Bloomberg Beta. For more information, visit www.aviso.com and follow us @avisoinc.

Industry: Media
Mixamo is the world’s first online character animation service. Founded in 2008 as a Stanford University spin-off, the Company addresses the rapidly growing multi-billion dollar gaming and animation markets by providing a simple and efficient solution to the industry’s content creation needs. Modeling, rigging and animating that once could take days to complete now takes seconds with the Company’s machine learning based SaaS solution. Mixamo is positioned to become the dominant force in character animation by introducing the power of machine learning into digital character animation, with the majority of its audience in mobile development. With its breakthrough 3D content creation and animation technology, as well as its growing IP portfolio Mixamo is laser-focused on its core vision: to democratize 3D content and animation creation. The Company is backed by leading financial and strategic investors including Granite Ventures, AMD, and Keynote Ventures, among others.

Industry: Software
We’ve built a predictive analytics platform that answers two basic, but fundamental questions for your business: 1) Why are your customers leaving? 2) When are your customers about to leave? We use machine learning and model ensembling techniques to make user predictions, but we abstract all that away behind an easy to use interface and a very opinionated product that only provides dashboards that tell you why users are leaving, and an API that tells you which users are leaving, when they’re estimated to leave, and the reasons why. Every day, one of our customers sends their high-risk users to their e-mail service provider and sends a personalized winback e-mail, advertising features they haven’t used yet. Our predictions were responsible for a 3% MRR increase in their revenue with very little effort from either them or us. Most data analytics companies are great at explaining your past. We’re a data company that predicts your future.

Industry: Software
Wise.io, Inc. provides applications spanning the entire customer lifecycle that apply the power of machine learning to help companies optimize how they acquire, monetize, and retain customers. By connecting directly to SaaS-based data sources that companies already use (such as Zendesk and Pardot), accurate and bespoke machine learning predictions are easily consumed by the business user with a low-friction, self-service on-boarding. The company was founded by leading experts in astrophysics, statistics, computer science, and machine learning as well as business executives who built innovative and disruptive businesses that brought advanced analytics to the enterprise software market. Wise.io’s solutions are running in production at companies that range from Silicon Valley startups to the largest Fortune 500 corporations. Wise.io is based in Berkeley, California and backed by Voyager Capital.

At Mavrx, we’re harnessing the power of imaging to drive the next revolution in resource management—at a planetary scale. Our goal: Improve the efficiency of the global agriculture industry, using the power of imaging and spatial analysis. We take the pulse of agricultural lands across the planet with satellites, UAVs, sensors, and aircraft, use computer vision and machine learning technologies to process and filter that data, and deliver actionable awareness to the people who need it most. The result: Meaningful information is produced—information that changes how people interact with and understand their land and their work. We predict changes and help prescribe solutions, propelling growers into the next era of resource management while having a net-positive impact on the process of food production and land management. Headquartered in San Francisco, we currently operate in the U.S. and internationally.

Industry: Media
At Ravel, we develop the legal profession’s most innovative products for data analysis, visualization, and research – uncovering insights about judges’ rulings, revealing critical cases, enabling lawyers to make data-driven decisions, and more. Lawyers, students, and citizens love using Ravel because we provide them with unique insights and guidance, helping them research quickly and confidently. We’re working with great technology, like d3.js, ember.js, Spark, and Scala, and the challenges that get us fired up involve text and data mining, beautiful UI, machine learning, and information retrieval.

Industry: Media
Tailored is the most advanced personalized discovery and recommendation platform in the $75 billion wedding industry. Similar to Pandora, Tailored uses machine learning to find affinities between 2.7 million brides each year. As users rate products they like/dislike, Tailored learns and recommends the perfect products. Over $1 million in products have already been liked, listed, or bought through Tailored since launching in February 2012.

Industry: IT Services
Fluential enables people to communicate with devices simply by using their voice. This is accomplished via Fluential’s proprietary and patented set of technologies that span speech recognition, natural dialog communication, artificial intelligence, natural language processing, machine learning, and probabilistic inference. Our mission is to enable consumers to naturally—and accurately—communicate with everyday devices using voiced-based multimodal interactions.

Industry: Software
We are building a unified algorithmic architecture to achieve human-level intelligence in vision, language, and motor control. Currently, we are focusing on visual object recognition and segmentation. We are interested in g Using inductive biases drawn from neuroscience, our system requires orders of magnitude less training data than traditional machine learning techniques. Our underlying framework combines advantages of deep architectures and generative probabilistic models. We use modern software engineering practices, and we strive to maintain a codebase and a culture that are a joy to work in.

Industry: Diversified Financial Services
We have developed the next generation of identity scoring and verification. SocioIDV sources traditional and emerging data sets and leverages decades of machine learning expertise to deliver a <1 second decision. SocioVerify leverages opt-in access to social graph (e.g. Facebook), ecommerce (e.g. Amazon), email (e.g. Gmail) and a primary transaction account (e.g. Wells Fargo DDA) to create real-time 0-100 scores of an individual’s current employment, income and identity. Deployable when underwriting new consumer loans AND for current accounts requesting an credit line increase.

PromoRepublic is an automated small business marketing agency for social media. Small businesses cannot afford to hire expensive marketing agencies to handle their social media presences. PromoRepublic replaces the agencies. We provide strong source of traffic, leads and sales for our users, at the same time saving their time and money through 3 key features. 1) A library of pre-written templates for social media posts, as well as tools and apps for posting, promotion and sales through social networks. 2) A data driven technology “Suggestion Engine”, based on data mining and machine learning algorithms, proactively gives actionable suggestions that increase traffic from social networks. 3) The disruptive feature “co-promotion” (work in progress) enables post-exchange between fanpages connected to PromoRepublic. In our start-up phase we attracted over 1000 registered users, 160 paying customers, and generated €25,000 in revenue.

Industry: Media
Check out how we succeeded by using AI, machine learning, and big data to displace human decision-making in advertising, taking us from founding to IPO and nearly a quarter billion in revenue in just 6 years. Rocket Fuel’s powerful Marketing that Learns platform is cutting edge technology and our Machine Learning and AI Teams are implementing new capabilities daily. Our innovations make display, mobile, video, and social learn from one another, and apply an always-on learning approach to span the entire customer lifecycle.

SOMA Analytics’ flagship product is Kelaa, a mobile phone application that measures and analyzes the effects of psychological stress and provides you with a 14 day program to improve your mental resilience. The technology combines aspects from psychology and medicine with machine learning and hardware. Mental resilience is your ability to deal with stressful situations and bounce back from setbacks.

Industry: Software
Wallarm is next generation web security solution designed to protect online businesses from application-level attacks. It organically combines vulnerability detection with web application firewall (WAF). Wallarm is developed on top of NGINX, an increasingly popular high performance web server and load balancer used by 35% of the busiest 1000 websites. It targets clients with high loaded web projects in e-commerce, SaaS/PaaS, big data, news media, communication and online payments markets. Its key features include: – Behavioral analytics and machine learning for detection of 0day attacks and vulnerabilities they are targeting – Statistics algorithms resulting in low false positives and resistance to spam in interface – Virtual vulnerability patching for immediate protection – Integration with popular bug trackers to automate secure development life-cycle (SDLC) and continuous integration – Asynchronous mode to secure extremely loaded applications

PLAXD is a data-science oriented game developer focused on free-to-play social mobile games. PLAXD engine combines data-mining, experiments and machine learning to provide adaptive player experience in order to satisfy different cohorts of people. We have just developed our first game — a free-to-play hidden objects game — and are going to launch it Summer 2013 on iPad+Facebook and other social networks. Our first Hidden Objects Game is built on our own hidden-objects-constructor, able to produce next titles really fast. Our Data Science engine allowed us to increase Key Performance Indicators several times already — please be sure to find our Deck.PDF attached below.

Industry: Software
Sqrrl is the Big Data Analytics company that lets organizations pinpoint and react to unusual activity by automatically uncovering hidden connections in their data. Sqrrl’s linked data analysis platform gives analysts a way to visually investigate these connections, allowing them to rapidly understand their surrounding contexts and take action. With Sqrrl’s cybersecurity solution, users can detect and respond to advanced data breaches associated with cyber-espionage activity, insider threats, and other types of hard-to-detect attacks. At the core of Sqrrl’s architecture are a variety of Big Data technologies, including Hadoop, link analysis, machine learning, Data-Centric Security, and advanced visualization.

Industry: Media
Using our media research platform called dYverr, we blend machine learning techniques & opinion research together to provide organizations with deeper insights in understanding their key-audiences. We leverage the experience of several experts in data science & market research to predict the affinities that people have to different topics & themes, while also developing customized models used in media-buying & voter-contact.

At Thoughtly, we are developing enterprise tools that leverage artificial intelligence for the automated screening, visualization and summarization of text. Our mission is distinct — to build tools that facilitate productivity by complimenting hyper-specific job functions . This focus on valuable insight permeates every aspect of our development efforts. We are focused on delivering highly capable machine learning tools that provide exceptional analysis, immersive visualizations and meaningful summaries of text. Thoughtly’s system can be a force multiplier for organizations as current natural language tools are often inadequate for specific job functions. Expanding on our core technology, we seek to provide tools that provide reliable insight to enterprise clients.

www.featherlight.co Featherlight is changing the way people learn & improve at work. Through machine learning & NLP we provide deep analytics to managers and employees to help them discover learning opportunities, strengths, and other social dynamics that effect their impact at work. Featherlight is a product of workZeit.

Industry: Software
CloubrAIn defragments the placement of your datacenter workloads. Workloads placed manually lead to wasted resources, QoS violations, and frustration. Current processes for deploying and managing workloads are not capable of operating at the necessary scale, and cannot model the dependencies and global constraints of workloads. These decisions are error prone because they are based on a narrow view of the datacenter. Cloubrain leverages big data and machine learning to defragment the placement of your workloads. Our technique is like optimally playing multidimensional Tetris. The end result assures datacenter performance and efficiency, while preventing problems from occurring. This enables engineers to focus on building their business, and not on managing their cloud infrastructure.

Kueski is the leading online lender for the middle class of Mexico. By visiting Kueski’s website, users will be able to apply online for a loan by specifying how much money they need and when would they like to pay it back. Kueski applies big data and machine learning to user’s credit history, their social graph and other online information available to build a credit risk model that will approve or reject loan applications in a matter of minutes. The company grew 10X last year and has has achieved better loss rates than a traditional credit card in Mexico.

Industry: Software
libVMR is a class library written in Java which implements code generator for group method of data handling – GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks – vector machine by Reshetov (VMR). The library has been designed to learn from data sets. Typical applications here are pattern recognition ( binary classification).

Seldon is the enterprise-grade machine intelligence platform that help businesses to deploy real-time recommendations and predictions and solve real-world problems faster. Data scientist are in short supply and create the most value when they can focus on solving the domain-specific problems that are unique to their organisation or industry. The problem is many data scientist spend too much time reinventing the wheel because they want control. Seldon provides an open-source data science stack and MLaaS API built on industry-leading technologies such as Apache Spark and Kafka. Our fully integrated solution enables developers and data scientists to deploy an end-to-end scalable machine learning pipeline. The pipeline includes data collection, feature transformation, building and deploying predictive models, serving the results via a REST API and monitoring the impact on core business KPIs.

Industry: Media
We give publishers a new way to promote their content. We give people a new way to discover interesting articles. Our team focuses on machine learning algorithms to surface related content from a private network of approved publishers. Publishers install our widget which promotes content from similar blogs and in return we promote their content on other similar blogs as well as ZergNet.com. ZergNet.com receives over 12 million unique visitors a month and we launched in 2012. Check out www.ZergNet.com/info for more info and www.quantcast.com/zergnet.com for more traffic data.

Industry: Software
Revuze is a fully automated insight generator, turning customer opinions into actions. By using proprietary text analytics, contextual analysis, machine learning and more, Revuze completely eliminates the need for the manual intervention of insight extraction, cutting time and resources significantly, enabling companies of any vertical to easily make faster and better business decisions.

bitrockr enables the user to track and aggregate data in one central platform by connecting a wide array of 3rd party devices or applications and also by inputting data directly into the platform using the web or mobile applications. bitrockr then using machine learning and statistical analysis, provides user with deep analysis and insights on various aspects of the users lifestyle. bitrockr also works as a secure personal data vault of the user by which the user can track their life and recall information when required. The user can also connect the platform with other products and services which require specific personal information to work.

Industry: Software
RTB Optimizer RTB Optimizer is a real-time bid management system that computes a unique probability score for each impression, then uses that score to calculate an optimal bid price based on campaign goals. It can be integrated with any front-end RTB stack and is powered by Datacratic’s Real-Time Machine Learning Platform. Behavior Prediction API Datacratic’s Behavior Prediction API is a powerful plugin to the Datacratic Machine Learning Database (MLDB) that uses machine learning algorithms to continuously learn and adapt to changing behaviors in real-time to make real-time predictions based on up to the second conditions. It enables organizations to: Evaluate trillions of data points in real-time to score and predict high probability outcomes Make machine and data-driven predictions in real-time that drive business processes Extend data segments based on characteristics of a given behavior profile (lookalike modeling)

Seen captures stories as they happen. An automatic Buzzfeed for the real-time web, Seen’s mission is to become the primary destination for user-documented stories, and to allow anyone to find, share and browse these stories. A billion smartphones share millions of stories in real-time. Seen is a new way to organize this media. Think PageRank for the real-time generation. Seen’s mission: be the first place to experience stories as they unfold. In order to do this Seen harnesses instant ranking algorithms, data analysis, and beautiful visual design with distribution through visual cards, automatic timelines, a real-time API and searchable pages, e.g. Climate March: http://seen.co/climate The Governors Ball: http://seen.co/govball Banksy in NYC: http://seen.co/banksy Our team is made up of experts in search, ranking and mobile products. Altogether, we are applying 2 patents, 8 papers and 3 Google Research Awards to integrate machine learning with breaking news and social curation.

Unleash The Potential Of Online Footwear Shopping. isn’t it frustrating to buy shoes online?? who doesn’t need shoes? who doesn’t buy things online? but when you’re buying shoes, you can really ‘Feel’ the shoe… Enter 3D. with just a smartphone and very sophisticated algorithms and machine learning – we are able to create a virtual fit, based on your specific foot features, compared to the shoe you are going to buy…

Industry: Commercial Services & Supplies
indico provides social data augmentation by turning raw text and image data into human insights. We’re lowering the barriers to the development, integration, and customization of machine learning algorithms by providing developer-friendly tools and APIs for building smarter software. We’re also dedicated to supporting our community with meaningful research and educational content. Today, machine learning requires a team of PhDs. indico dreams of a world where machine learning is so widespread, seamless, and human-friendly, it no longer seems like technology.

Think of us as the world’s best product recommendation platform that empowers the consumer to stay on trend, make informed buying decisions, and express one’s self. We bring together more than 130M products from nearly every retailer and brand in the US, include automatic price comparison for each product, and personalize everything users see through deep machine learning and AI. Add to that a Twitter-esque social component that democratizes the shopping experience through sharing, recommending, and trendsetting. That’s Shopography: the world of social married with the world of retail and powered by AI.

Industry: Software
Driven by machine learning, Terranova is an intelligent location-based app that makes it easy for people to share and discover what’s happening around them right now. Part Instagram, part Twitter, Terranova lets users snap a picture or short video of something they’d like to share with the world. The app automatically geo-tags each photo, creating a live, time-stamped “beacon” that’s visible/searchable by everyone in the vicinity, as well as friends on Facebook and Twitter. Users can also view what other people are publicly sharing via the app’s personalized photo feed. For the first time, no Facebook connections, Instagram handles, or Twitter hashtags are required to easily share, view and search publicly posted photos. Use cases include alerting people about what’s happening now; showcasing unique places and events; attracting people to a business; promoting special events; or, getting in the know — wherever you are — by checking out what others near you are experiencing.

Industry: Media
Strossle is a fast growing media tech company, helping publishers optimize content distribution. We use machine learning technologies to adapt the user experience based on context and personal interests. Our mission is to help publishers become future-proof. With Strossle publishers can: – Make sure every user is presented to an optimal mix of content – resulting in higher engagement. – Attract new users through promotion of their best performing content in Strossle’s publisher network. – Leverage their premium environments by offering native advertisers extended reach. Since launch Strossle has had an average monthly two-digit growth rate, and now we’re going global with our way of thinking. Today the company has offices in Stockholm, Malmö, Oslo, Copenhagen, Amsterdam, Madrid and New York.

Industry: Software
Emailage is breaking new ground in fraud prevention by providing an intelligent risk assessment without compromising data security. Their solution requires only an email address to precisely provide a fraud risk score. Emailage leverages sophisticated machine learning that identifies fraud trends across a vast consortium of data. The easy to use interfaces deliver a plug and play approach to fraud prevention. Email address is a unique identifier which makes Emailage the global answer to stopping fraud.

Industry: Software
Our flagship product, DiscoverText (http://discovertext.com), helps you gain valuable insight and knowledge about customers, products, employees, citizens, research data, documents and more. DiscoverText is a fully cloud-based solution utilizing credentials, peer groups and crowd-sourcing to search, code, machine-classify and share large volumes of text data. The power of DiscoverText comes from using stored human judgments and inferences along with automated software algorithms to create an active machine learning loop. Our newest product is Sifter (http://sifter.texifter.com), an online tool to search and retrieve data from the complete history of Twitter using powerful Gnip-enabled Power Track operators.

Industry: Professional Services
Reclutec is a network of skilled engineers which provides different tools to improve their career path through technical skills, and automatically matches engineer profiles with specific positions of companies. Reclutec engages its users by focusing the creation of communities based on specific skills and providing tools to improve those skills such as chatting with experts, taking on-line courses, taking online tests, integrating other sites like github or stackoverflow, Q&A forums; motivating engineers to become active in the promotion of their skills, experience, capacities, and passion for technology. Reclutec calculates a skill “rating” by mapping engineers based on community behavior, performance with the tools, past projects, education, work experience and recommendations (from other engineers and companies). With this information and using machine learning algorithms, Reclutec offers to companies a specialized matchmaking engine which will recommend and rank a pool of engineers

Shopboostr helps ecommerce retailers to deliver a personalized user experience. Through the collection of big data our machine learning algorithms can predict every user behavior – automatic and in real time! As an outcome we are able to target every customer with the right incentive at the right moment.

We make it incredibly easy for your business to personalize digital marketing communication through personalized landing pages, email, digital ads, social media messages, and SMS messages. Our technology combines behavioral, demographic, psychographic, and other online behavior data to create the next generation of personalized marketing. We use machine learning and predictive analytics to produce individual recommendations from just a few columns of data. Our solution integrates seamlessly into any email service provider, CRM, or third party data source, so you’ll automatically have up-to-date recommendations for each customer when sending web communications. It typically takes about 15 minutes to set the platform up, and results in 8-30% total revenue increases. Clients include almost anyone who is sending B2C messages.

Industry: Media
Integral employs complex heuristics to evaluate all content on web pages through multiple layers of proprietary and best-in-class data science technologies. We currently have industry-leading visibility, at the individual page level, across over 98% of the commercial web. Integral’s proprietary data science and human verification technologies have been designed by leading academicians in the data science and machine learning fields. Our rating methodology never relies on single source data to evaluate content — it weighs competing evidence sources to create the most accurate and comprehensive rating of page content.

Youneeq is a patent pending predictive analytics machine learning behaviorally targeted technology for publishers, e-commerce and advertisers. Youneeq drives user engagement by making personalized content/product/advertising recommendations to individual users, based on user behaviors. Increased user engagement results in improved audience metrics for publishers, increased conversion/yield for e-commerce and improved ad performance for advertisers. Behavioral based real time persona data is the highest value data for internet advertisers. This high value equates to significant revenue for Youneeq as we’re a leader in the collection of behavioral based persona data. This opens a new revenue stream and business opportunity for Youneeq and is a promising opportunity for an accelerated growth and revenue path.

Go beyond the edges of patent landscape be a step ahead your competitors. MobiusBobs bypass the Turing test of patent via machine and crowd. Patent codifies innovations. Our knowledge graph of innovation nodes, is a must-have for everyone, law firm, tech companies, startups & VCs. Human expertise enhanced by machine learning help complete the search and enhance your strategy. MobiusBobs provides transparency and more certainty to global innovation and intellectual property. MobiusPatent is a collaborative SaaS platform for patent work, and supports internal, outsourced, in-sourced, and crowd-sourced collaboration. We seek to create an efficient access to the relevant machine and curated information. At MobiusBobs, we aim to build the largest subjective (IP) knowledge graph in the world.

We enable developers and individuals to easily integrate predictive intelligence into their services. This lets them automate the discovery of relevant information based on the content they already generate. For example our service can help social media tools recommend the latest content their clients should post, enable academic apps to ensure students and researchers are always informed of relevant papers, and help publishers automatically deliver personalised content to their readers. Our technology is driven by our mind API, which uses the latest advancements in machine learning to understand and relate any text based content.

Industry: Software
FROM DATA TO INSIGHT AT ANY SCALE We collect data at spatial resolutions from 30 meters down to 20 centimeters and at multi-year to hourly time scales. We cultivate expertise in image processing, machine learning and rigorous statistical analysis to match our data’s exponential growth. In one recent project we processed 1 trillion pixels and counted 700 million cars to generate tradeable insights into national shopping behavior. FORECASTING AND REPORTING Our Geospatial Big Data analytics platform is flexible and comprehensive. On it we can assess anything from the number of containers moving through the port of Rotterdam, to the rate of construction in China, to the number of cars in Walmart parking lots. We start with historic imagery and known economic trends, train models, and then forecast results for the current period using satellite imagery. We visualize our results for easy customer digestion and iterate with them continuously using the latest web tools.

Industry: Software
HireIQ is changing the way people get hired by applying machine learning to voice recordings. Our product is a global SaaS offering that automates virtual interviews for high-volume hiring. We are venture-funded by Tech Operators and others here in Atlanta and have interviewed over 1 million applicants around the world for predominantly call center jobs.

Industry: Software
At FiscalNote, we’ve built a platform for real-time open data analysis that aggregates, analyzes, and forecasts legal data. Voted as one of CNN’s Top 10 Most Innovative Startups of 2014, Forbes Top 100 Analytics Startups of 2015, and Business Insider Top 25 Startups in America. We are working to create a legal system that is transparent and predictable using artificial intelligence and machine learning. We are backed by Renren, Mark Cuban, Jerry Yang (founder of Yahoo!), Steve Case (founder of AOL),Visionnaire, NEA, etc. with over $18.3M in venture capital. Our first product, FiscalNote Prophecy, allows for easy searching, tracking, and forecasting of legislation (with over 94% accuracy) from all 50 states and Congress, all in real-time. Additionally, we are in development for product lines in the regulatory and case law spaces. As a result, organizations: * Reduce political risk * Decrease costs of regulatory compliance * Make real-time decisions in response to government action

Industry: Software
One Llama Labs is an Audio and sensor software Artificial Intelligence Company based on machine learning. One Llama was originally incubated out of the University of Illinois National Center for Supercomputing Applications (NCSA). The Company has developed software to provide intelligence to wearable devices, Internet of Things and other consumer and business applications. Other applications include proprietary recommendation technology for music services.

Shot & Shop is a visual search engine, technology-based company. Its patented algorithms analyze in real time, all kind of images/videos/drawings directly from the real, to search for visually similar and identical without the need of any keywords or text tags. Shot & Shop’s “Scalable Visual Search (SVS)” new algorithmic approach, different to any competitors’, can accurately describe all kind of visual information without the need of machine learning or training methods, thus is real-time scalable. SVS SaaS, is an integrable open-platform API for web/app online sites and Ecommerce, providing visual recommendations for image content engagement and cross-selling. SVS-intelligence provides retailers with technological cool-hunting and advanced image trends based on product search insights. At last, Shot & Shop’s visual search shopping App launched as proof of concept, and 1st targeted at fashion, offers a new channel for brand discovery, and off-to-on costumer engagement.

Industry: Software
Granify is the fastest and most impactful way for a retailer to increase their conversion rate and revenue. On top of this, there’s almost no work required by the retailer and it’s completely risk free. We use machine learning to automatically decipher actionable patterns from a firehose of real-time shopper data — over 1.5 trillion data points per month. With this information, we’re able to determine which shoppers aren’t going to buy and take action to change their minds — before they leave one of our retailers’ sites. We completed our Series A funding in early 2015 with Valar Ventures. We won Best E-Commerce Solution and Best Digital Startup at the 2014 DAA Awards. We’re backed by early investors in Alibaba, AirBnB, Twitter, Facebook, Pinterest, Palantir, Yelp and others. Our brilliant investors have a track record of correctly betting on game changing companies at the early stages and we’re proud to be part of this group!

Essess develops proprietary hardware and software which efficiently collects thermal images on millions of individual buildings across large geographies (commercial, residential, industrial), and applies advanced computer vision and machine learning techniques on these images to analyze performance information on each building. The software then analyzes and synthesizes this information into automatically generated “plain English” online reports for every address in the geography, providing building owners and other stakeholders with tangible and actionable ways to improve their comfort, reduce their energy consumption, and save money.

We provide a premium shopping experience for digital goods. Premium retailers—such as Nordstrom—offer their customers a highly curated shopping environment and personalized service. We bring this experience to e-commerce by applying machine learning techniques to discern product quality, timeliness, relevance, and desirability for the shopper.

Industry: Software
AppLift’s mission is to fuel mobile advertisers’ growth by connecting their products to the right audience globally through technology, data, and services. AppLift is a comprehensive mobile app marketing platform that empowers mobile app advertisers to acquire and re-engage quality users at scale. The platform resides on its proprietary LTV optimization technology, which enables ROI maximized user acquisition on a performance basis. AppLift’s programmatic media buying platform DataLift provides a wide reach by accessing all automated supply sources in the market. Its data-fueled machine learning algorithm leverages historical campaign data to determine which combinations of targeting parameters perform best in order to enable smart media buying decisions. AppLift works with 500+ leading global advertisers across all verticals, such as match.com, King, Zynga, OLX, Glu Mobile, Myntra, Paltalk and Tap4Fun.

Everyone experiences a lot of moments every day. Some of these moments you want to evolve into nice memories but the pictures are stored somewhere in between all the random moments so eventually they will all be forgotten; It just takes too much time and effort selecting the best ones. ReSnap is the solution for saving these best moments. ReSnap can automatically select the best pictures of a user from the thousands of pictures spread across different data sources (from mobile to Dropbox). And this can always be done within one minute! ReSnap uses state-of-the-art deep machine learning techniques to create the smartest photo tool around. Because of the implementation of a neural network our system is self-learning, so with every photo story that is made, our system can predict better what the perfect photo book for a user will be. With ReSnap, users can create the perfect photo story without having stress selecting the best photos.

Industry: Media
OneSpot is a marketing platform for driving business results with content – by publishing it everywhere using the scale and power of the digital advertising ecosystem. The platform delivers a marketer’s entire portfolio of owned and earned content as high-performing content advertising – blog posts, videos, reviews, whitepapers, articles, and more – using proprietary machine learning optimization and 20 digital ad exchanges to: –Drive response rates 2-50x better than traditional advertising and automatically optimize to business goals –Identify prospects who are in the market for a client’s products –More effectively retarget customers by sequencing different types of content at different points in the purchase funnel OneSpot customers span B2B and B2C categories, including P&G, Unilever, Remington, Dell, SAS, Rackspace, Domo, General Mills, Home Depot, and more.

XGear is a predictive analytics platform for vehicles; delivering real-time actionable insights to drivers and car owners for preemptive car maintenance and performance optimization. We are disrupting the automotive industry by capturing and processing vehicle data that was never before utilized in an efficient manner, including engine data, driving diagnostics and car maintenance vitals. We contextualize that data with external factors such as weather, outside temperature and traffic. By collecting millions of data points we are able to perform predictive analysis using machine learning to identify risks of certain events happening and informing drivers before they take place. XGear provides a mobile & web-based solution to drivers and corporations for monitoring & improving driving behavior, increasing fuel efficiency, preemptive car maintenance, geofencing, vehicle tracking, forensic audits and safer driving. www.xgear.io

ClikHome is cloud based real estate marketplace utilizing machine learning algorithms to provide real-time personalized matches between renters with apartments. Being a marketplace, ClikHome caters to two customer groups: 1.) renters and 2.) landlords. For renters: Based on machine learning technology and big data analysis, we developed an engine which finds apartments to renters based on their preferences, needs, budget and lifestyle. Our engine, basically, acts like a real estate adviser that understands renters’ needs perfectly. It knows where renters want to live, even before they do. More possibilities, less hassle. For landlords: Our service provides them with completed applications from prospective tenants. They just have to approve or deny them. With more qualified leads, landlords will have more business and less empty apartments.

Industry: Software
Predilytics is an advanced healthcare predictive analytics product and services company. We are the first to commercially apply to population health the proven machine learning techniques from other demanding industry sectors such as financial services and consumer acquisition. Predilytics applies its patented analytic tools to transform healthcare “big data”, and to point the way for at-risk healthcare organizations to optimize and precisely target their care delivery resources, to increase revenue, and to control costs. We use our customers’ structured and unstructured data, along with external data sources, to predict healthcare consumers’ behavior at the individual level. This means that our customers and their colleagues can confidently focus their efforts on individual members who show a high probability of success, and prioritize their scarce resources to maximize overall impact and cost-effectiveness.

SNTMNT has developed a combination of filters and algorithms that can predict share price movements based on Twitter sentiment. Using our sentiment analysis we give investors an additional trading indicator on top of regular fundamental and technical analysis. Our product is available in three forms: 1. Accessible via an API 2. Accessible to brokers as sentiment analysis dashboard (for their clients) 3. For us to set up proprietary trading strategies The methodology that we apply is best explained in three steps: Step 1 – Sentiment Analysis We filter and classify Twitter feeds surrounding individual companies on both financial sentiment and brand sentiment. Step 2 – Reach and Authority We score authors on authority level and expertise. Step 3 – Machine Learning We use machine learning methods, including robust non-linear models, to look at correlations between Twitter sentiment, author authority and the share price, resulting in a prediction.

****IN OCTOBER ACTIVATION WILL LAUNCH THE FIRST SMART APP RELEASED FOR iOS AND ANDROID***** Activation is launching a portfolio of vertical specific SMART Apps targeted at retailers that will enable them to connect to and build powerful relationships with their customers by delivering personalized content, messages, alerts and invitations based on a customer’s location, interest, engagement and purchase history. Activation’s proprietary platform enables Apps to be “SMART” and deliver personalized, contextually relevant content to each individual user at the right time and location. The platform’s algorithms, proprietary data models and machine learning will adapt the content to each individual user as they engage, delivering true 1:1 personalized engagement. The platform has been developed by an industry leading team with build-out being led by Dominic Crain, a former Disney executive with 22 years of experience and there are five patents in process.

Research says eCommerce sales for 2013 was $263 Billion, with 15% increase per quarter (US Census Bureau). We harnessed the potential by building an eCommerce company. 1) 2.1 MM sell-able online products: We are selling 2.1 million online products starting out in August 2016 on eBay and Amazon. Our sell-able online will expand to 5 million over next 2 years. 2) The Synthesizer: Currently, most eCommerce Platforms and Comparison Shopping Engines lack handling all backend processes. To handle backend automation related 2.1 Million products we are selling online, we are building an all in one enterprise level ERP platform, Synthesizer (Phase I) This is an intelligent machine learning platform, which will provide automation related to order processing, product pricing, project management, marketing analytics, inventory management, accounting, and data analysis. Synthesizer will connect sellers live to all their verticals including comparison shopping engines such as Amazon and eBay.

http://gravityrd.com Gravity R&D is one of the world leaders in machine learning and recommendation engines. In 2009, we tied for first place in the Netflix Prize competition after beating out 18,000 teams. This was the largest and most comprehensive machine learning competition ever held. Our team represents a collective of some of the best data mining and machine learning scientists in the world. We deliver 4.3 billion personalized recommendations per month, resulting in over €30 million in additional revenue for our clients around the world. Over the past year, we’ve competed in 5 A/B tests, beating out the in-house solutions of Dailymotion, Allegro (Naspers), and OLX Brazil.

CrowdProcess is a scientific computing company, which manages the CrowdProcess research grid. Two years ago we realized that only the top tier of research was able to take advantage of the early 21st century’s super power: scientific computing. We lowered complexity and eliminated price completely, by creating a virtual supercomputer on the web, that helps researchers get their advanced algorithms out of the research center and into the real world. On the for profit side, CrowdProcess helps companies take full advantage of advanced scientific computing capabilities, including machine learning and advanced optimization. CrowdProcess’ technology is currently used by some of the top private equities in NY and London, and by some mid-tier banks in prediction of loan defaults, as well as research centers across the world.

Socure’s Social Biometrics(tm) solution uses proprietary machine learning algorithms and realtime linked-data analysis at cloud-scale to let enterprises know if an identity is trust worthy and when there is fraud risk.

Industry: Software
PredictionIO is an open source Machine Learning server for developers to build smarter software. Today every application needs a database server. Tomorrow they will need a machine learning server. PredictionIO will be the machine learning server empowering every application.

Industry: Software
Friday for Android (www.fridayed.com) Friday helps you create a very personal and psychotic layer of context in the cloud with your smartphone. It uses this to make your phone intelligent and responsive. Dialapp (http://fridayed.com/dialapp/) A context aware dialer. Forget the old anarchic dialer app. Say hello to dialapp. Super fast, and uses machine learning to predict your calling patterns. Welcome the future of dialers. iris. (www.irisbot.com) Iris is synonymous to Siri for Android. Started as a meagre hobby hackathon project created in 8 hours, it soon shot up to fame. Over the first month it added over a million users and has been since growing phenomenally. iris is now available for Window 8 as well.

We use proprietary machine learning techniques to find events on social and traditional media that have the potential to affect the valuation of financial assets. Our algorithms identify those events and produce actionable alerts that traders and investors can act upon. We are able to do this by placing events in context including prices, trading volume, discussion volumes, influencers and sentiment. Puerto Finanzas focuses on providing data primarily from Spanish Speaking Financial Marketplaces.

ScienceBehindSweat helps athletes and coaches get accurate individualized analysis of training and biometric data. We close the information loop and help athletes improve performance by fixing inefficiencies and skill deficits in a data driven manner. Founded by PhD geneticists and statisticians who are collegiate athletes, RxAnalytics combines in-depth domain expertise with proprietary machine learning creating a novel platform for behavior, health metrics and performance analysis and personalized recommendations. We are focused on CrossFit to start and will be moving into collegiate team sports next.

TRAFI is a world’s smartest public transport journey planner based on machine learning, crowd-sourced data and self-learning algorithms which helps us to provide the highest quality product across competition.

Industry: Software
AppLift’s mission is to fuel mobile advertisers’ growth by connecting their products to the right audience globally through technology, data, and services. AppLift is a comprehensive mobile app marketing platform that empowers mobile app advertisers to acquire and re-engage quality users at scale. The platform resides on its proprietary LTV optimization technology, which enables ROI maximized user acquisition on a performance basis. AppLift’s programmatic media buying platform DataLift provides a wide reach by accessing all automated supply sources in the market. Its data-fueled machine learning algorithm leverages historical campaign data to determine which combinations of targeting parameters perform best in order to enable smart media buying decisions. AppLift works with 500+ leading global advertisers across all verticals, such as match.com, King, Zynga, OLX, Glu Mobile, Myntra, Paltalk and Tap4Fun.

Industry: Software
Edgecase’s Adaptive Experience platform is behind today’s most inspiring shopping experiences. By allowing shoppers to communicate their unique preferences, context and shopping style, we empower them to discover products on their own terms. Using a proprietary combination of human content curation, adaptive navigation and machine learning, we help retailers create experiences that aren’t just informative and efficient, but that are also inspirational and memorable.

Hospitals most profitable asset – surgical operating rooms – are idle 35% of the time during business hours due to scheduling constraints and complexities. Hospitals traditionally address this problem with manual, reactive, and high friction tactics. Operating Analytics’ OR Forecast uses data science and a proprietary machine learning algorithm to predict daily operating room utilization so that hospitals can proactively identify time that will go unused and recruit additional surgeries to fill the time.

In the Age of Data there are too many numbers and to little knowledge. Reach.ly uncovers particular aim of e-commerce on-site visitors and provide ways to engage in real-time. By using machine learning algorithms we detect customer intention of visit – purchase, casual surfing or research. It is done in real-time.

Industry: Software
Cenify is a home automation startup with a focus of creating smart products using artificial intelligence and machine learning to understand human interaction with everyday devices. By using predictive analytics, we are building our platform to be automated that provides a seamless interaction to the user.

Industry: Software
We approach language learning the same way that you first learned a language – using a natural method that teaches new language directly, without translation. That means no more confusing grammar explanations or mind-numbing vocabulary lists to memorize. Learning a language should be fun, easy and effective. As the leading language-learning software in the world, Rosetta Stone makes learning a new language second nature. Millions of learners in more than 150 countries have already used our software to gain the confidence that comes with truly knowing a new language. It is an exciting time at Rosetta Stone! We are quickly adapting & improving our learning product offerings. We are embarking on some new and exciting challenges. Our newest projects include mobile technologies, cross-platform & multi-screen capabilities, high-scale web applications, and machine learning projects for curriculum & speech recognition. We are seeking talented engineers to join our product team.

The SOOMLA Whales Report helps game developer spot users who’ve paid in other games, hence more likely to pay in their game. Developers can then target these VIP users in real time with push notifications and in-game campaigns. The report is powered by the SOOMLA GROW data network which works on the premise of data sharing. Developers opt-in to share their game’s data, and in return get access to real-time user level insights from other games participating in the network. SOOMLA’s mission is to drive game developers’ success with technology and data. Its market leading SDK powers over 4,000 live games reaching 400 million devices globally. The company’s data platform employs cutting edge machine learning models capable of segmenting users and analyzing granular behavior across games. SOOMLA has pioneered free-2-play game design by creating the SOOMLA framework, an open-source technology suite that includes virtual economies, in-app purchase, social engagement and level design.

High quality programming tutorials, in Python, for free to all. I can solidify my current knowledge by teaching, I can learn new things along the way, I can market myself and my other businesses, and I make a nice side-income. I get to do all of that, while simultaneously helping possibly millions of people. While the videos alone area helpful to many, I decided to attach PythonProgramming.net to the entire operation, combining video, audio, and written tutorials all together. Topics covered range from basics to advanced, like: Game development, data analysis, data visualization, machine learning, robotics, web development, and a bunch more. Currently over 700 tutorials. Ads, promotions, referrals, endorsements, networking and donations are where the income comes from. I also recently got a programming book deal.

Industry: Software
Forio is a profitable, employee-owned company based in San Francisco. We specialize in predictive analytics and training simulations. We make sophisticated analytics available to non-experts who need it the most. Our talented team of developers have created Forio Epicenter – a platform available online that makes data scientists’ and quantitative analysts’ models accessible and understandable. We work in all domains of analytics including simulation, machine learning, artificial intelligence, visualization and optimization.

Industry: Software
We approach language learning the same way that you first learned a language – using a natural method that teaches new language directly, without translation. That means no more confusing grammar explanations or mind-numbing vocabulary lists to memorize. Learning a language should be fun, easy and effective. As the leading language-learning software in the world, Rosetta Stone makes learning a new language second nature. Millions of learners in more than 150 countries have already used our software to gain the confidence that comes with truly knowing a new language. It is an exciting time at Rosetta Stone! We are quickly adapting & improving our learning product offerings. We are embarking on some new and exciting challenges. Our newest projects include mobile technologies, cross-platform & multi-screen capabilities, high-scale web applications, and machine learning projects for curriculum & speech recognition. We are seeking talented engineers to join our product team.

DrumUp is a content marketing and news tracking platform, that helps marketers and businesses spot trends and work with them in real time. DrumUp is powered by an intelligent content discovery engine integrated with a streamlined content curation, creation and publishing platform. The DrumUp content recommendation engine uses machine learning and natural language processing to understand content within its context and offer fresh, relevant content suggestions, even for micro-niches. Currently, DrumUp lets users build personalized news streams and work with a streamlined platform to curate, create and schedule content for the three major social media networks – Twitter, Facebook and LinkedIn. The larger vision and future goal is to be a smart content marketing platform for several other online outreach channels. The key design focus of DrumUp is intuitive usability and streamlined workflow to let users do more in less time.

Industry: Software
We approach language learning the same way that you first learned a language – using a natural method that teaches new language directly, without translation. That means no more confusing grammar explanations or mind-numbing vocabulary lists to memorize. Learning a language should be fun, easy and effective. As the leading language-learning software in the world, Rosetta Stone makes learning a new language second nature. Millions of learners in more than 150 countries have already used our software to gain the confidence that comes with truly knowing a new language. It is an exciting time at Rosetta Stone! We are quickly adapting & improving our learning product offerings. We are embarking on some new and exciting challenges. Our newest projects include mobile technologies, cross-platform & multi-screen capabilities, high-scale web applications, and machine learning projects for curriculum & speech recognition. We are seeking talented engineers to join our product team.

Industry: Software
libVMR is a class library written in Java which implements code generator for group method of data handling – GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks – vector machine by Reshetov (VMR). The library has been designed to learn from data sets. Typical applications here are pattern recognition ( binary classification).

Scribie is audio/video transcription service where we transcribe interview recordings to text, with high quality. Our service is used mostly by journalists, market researchers, videographers, podcasters, authors, etc. The big problem with audio/video transcription is that there no automation. Machines are not very good at conversational speech, yet. Therefore everything has to be done manually. We have built an online system where files are split in smaller parts and the transcripts are crowdsourced. Our dedicated QA team then ensures that the accuracy is as high as possible. We have developed some machine learning based tools which reduce the time and effort required for QA. These tools are our secret sauce and key to our growth. We are faster, better and more efficient than our competitors and are poised to scale fast.

Industry: Software
Mobile developers: Batch is looking to make your day simpler by automating the time consuming tasks. We’re a top-notch mobile retention platform with a lot of machine learning working for you under the hood. Plug Batch in your app and let it grow your page views automagically.

Contextly’s content recommendation platform helps publishers thrive in the age of drive-by readers. We help publishers and content marketers engage, build and monetize high-value, loyal audiences. We do that by marrying curation tools to machine learning. Contextly significantly boosts engagement and loyalty. In a recent A/B test on two big customers, Contextly readers were 2x as likely to read 2+ stories, 3x likely to read 3+ stories and 3.5x as likely to binge on 4+ stories. They were also 42% more likely to return after a 24-hour absence. Our method – editorial curation and machine learning – reflects our founding team. Ryan Singel worked at Wired for a decade, while Ben Autrey has been building graph-based recommendation systems for 5 years. Our platform also works on videos, house ads and products. Our goal is to maximize the lifetime value of a reader, so we do NOT monetize via brand-destroying clickbait that takes readers offsite. We are a SaaS company and have revenue.

Industry: Media
Liftoff is a mobile app marketing and retargeting platform which uses post-install data to run true CPA-optimized campaigns. Run mobile app marketing campaigns optimized to drive post-install events like registering or making a purchase. We are building a sustainable engine of growth for mobile app companies, by solving the problem of connecting users with the mobile apps that they will actually value. We’re tackling this by leveraging programmatic advertising and state-of-the-art machine learning.

Industry: Software
Findify is an intelligent search engine that helps e-commerce merchants sell more. Essentially, we are the intelligence behind the search box in an online store. We use machine learning and big data to deliver continuously improving search results based on what’s trending, what’s most popular; what’s most likely to convert to a sale at any given time. We have customers across different geographies and in different verticals. Through A/B testing, we’ve been able to show an increase in revenue of between 10-30% when using our search solution. We think these numbers are pretty awesome, and our customers agree.

Industry: Software
At CircleBack, we innovate to solve one problem that has eluded many, the contact problem. In our ever-changing world, companies and individuals struggle keep their contact lists up to date and accurate. At CircleBack, we employ artificial intelligence and machine learning to keep contacts clean, complete, and updated so that, whether someone moves job, changes phone number or just moves buildings, you know. We believe that collaboration, collective intelligence, machine learning, and considerable respect for private information enables us to solve this long-standing problem.

Industry: Media
SEO software that delivers actions and insights, not just data. What can your competitors teach you about SEO? Quite a lot, as it turns out. Using machine learning to study how your website compares to top ranking pages, CanIRank can help you answer questions like: – what’s the one thing I should change to make the biggest impact on my rankings? – which keywords could I rank for without even trying? – which words should I include to make my page more relevant? – where can I get some decent links? Other SEO tools provide great data. CanIRank adds a layer of intelligence on top to deliver actionable insights, opportunities, and personalized recommendations. Finally, SEO software to help you spend less time collecting and analyzing data, and more time actually getting things done.

Linc brings together Retail Domain Knowledge, Real-Time Data & Machine Learning to intelligently address customers needs of tracking, returns, exchanges and more. We have a vibrant, growing platform that provides highly accurate insights and predictions on millions of shoppers. We have 1000+ Customers and 2 Million+ Shoppers on our platform. Our Data Platform Includes: 1. Analytics Dashboard & Insights 2. Recommendation & Ad Engine 3. Email Inbox Analysis & Extraction 4. Message Classification & Topic Modeling The team continuously explores new and creative ways of adding relevant value to shoppers via state-of-the-art data science, big-data, and machine learning technologies. The applications of the Linc platform are boundless. We are growing exponentially and seek to hire top notch candidates from the San Francisco Bay Area. Join us if you take pride in your work and enjoy being part of a top notch startup team.

SelfScore is developing a strong market niche around providing access to financial products (credit cards, student loans, etc) to a deserving but underserved population of international students (1M+ strong and growing with $31 billion in untapped annual spending). International students are routinely granted access to the US educational system and all the advantages it has to offer. However, no clear path exists for them to gain access to the credit markets. The current credit policies handicap them, leaving them unable to get a credit card, student loan or car lease without paying exorbitant costs/fees. We want to provide them with a financial on-ramp and put them on a path towards financial success in America. Given these students’ lack of credit history or credit score (“thin file, no file”), we evaluate them using alternate data science and machine learning methods which measures creditworthiness using our proprietary data science framework/algorithms.

Wootric (the Woo! metric) is a SaaS analytics platform to proactively engage with and manage customers, post-acquisition. We use big data and machine learning to bring rigor to the art of customer happiness. We start by making customer feedback easy and rigorous, automating the powerful Net Promoter Score (NPS) system inside web and mobile applications. We remove the hassle of managing a traditional email NPS survey program, and free up your time to focus on customers. Think of us as Optimizely for NPS. Our goal is to use NPS as the foundation to the much broader customer experience management space. We are already cross-functional and help align product, customer success, and marketing professionals on the same customer. Our paying customers include SaaS, media, e-commerce companies, marketplaces and mobile apps from all around the world. See their unsolicited testimonials on Product Hunt: https://www.producthunt.com/tech/wootric Learn more at www.wootric.com

Routofy helps users find the most suitable option to reach a destination by showing various transport options – ranging from trains, ﬂights, buses, travelling with your own car or taking a cab all at one place and also optimising them, according to the need of the user, on price, duration and comfort using its proprietary routing and machine learning algorithms. All this on an easy to read and intuitive timeline.

Industry: Media
Strossle is a fast growing media tech company, helping publishers optimize content distribution. We use machine learning technologies to adapt the user experience based on context and personal interests. Our mission is to help publishers become future-proof. With Strossle publishers can: – Make sure every user is presented to an optimal mix of content – resulting in higher engagement. – Attract new users through promotion of their best performing content in Strossle’s publisher network. – Leverage their premium environments by offering native advertisers extended reach. Since launch Strossle has had an average monthly two-digit growth rate, and now we’re going global with our way of thinking. Today the company has offices in Stockholm, Malmö, Oslo, Copenhagen, Amsterdam, Madrid and New York.

Industry: Software
Clarifai is a technology company working at the thin layer between machine learning research and the next wave of applications. The field of machine learning is in a period of revolutionary improvement. What new magic is now possible?

Our first product, MakkhiChoose, is a browser app that does intelligent price comparison on the fly as users navigate e-commerce stores Conventional price comparison sites require users to remember, and browse on them to find lower prices. Instead of re-inventing the wheel, we allow users to continue using their favored e-commerce sites, and enhance their experience by int With 65,000+ installs and healthy profitability in 6 months (in India alone), w Price is just one flavor of data; our aim is allow for comparison based on subjective similarity and curation based on understanding of product purchases. We have the requisite expertise in machine learning and big data to surmount this ch The founder is an IIT Madras alumnus, a computational neuroscientist, and the author of an internationally acclaimed science non-fiction book.

MentAd helps consumer facing companies predict who their next customers are and finds opportunities to acquire them effectively through targeted advertising campaigns. With its predictive marketing platform, MentAd leverages sophisticated big data and machine learning techniques to understand what uniquely characterizes existing customers and automatically find opportunities to acquire the new similar customers via the right channels at the optimal price. MentAd is already helping clients around the world with their biggest challenge: growth. The results so far are amazing.

ABEJA is a technology start-up with the vision of “Changing the world through innovation.” There is much ground-breaking research that never gets used for practical purposes. We use this research for business innovation. So we can enrich people’s lives around the world. Currently, we are deploying in-store marketing technology using image analysis and machine learning, and developing Google Analytics for practical use. We develop technology for personal tracking, object tracking, face detection, attribution analysis using image analysis and machine learning technology. You will be responsible for the R&D of the core part of ABEJA’s existing products like in-store visitor attribution analysis and in-store customer behavior analysis. If you are interested, please feel free to ask questions. Office visits are always welcome.

Industry: Software
SquadRun is a mobile marketplace that helps businesses crowdsource micro-tasks that require human intelligence & insight. Example use cases: curation of product data uploaded by sellers in a marketplace or listing portal, profile moderation for a dating app, search accuracy measurement/audit, generation of meaningful tags for images/videos of a consumer app, training data for machine learning algorithms, etc. We have built a mobile game that people play in their spare time. While they complete puzzles in the game, they’re solving large scale business problems that require human judgement/insight. Mobile + gamification + India arbitrage drastically reduces the cost. The applications of SquadRun are multifarious and each one is huge market on its own. Not just data curation but this technology can disrupt markets such as call centers, market research industry, user testing, data collection etc. Even on the user side, the mobile first nature of the platform makes it highly scalable.

Industry: Media
2 main divisions: — The “Bible of the Ad / Media Industry”, a lead generation and competitive intelligence tool used by publishers, agencies and marketers globally — The RB Technology Group, focused on advanced machine learning and natural language processing, with RB tech now deployed in leading publishers, marketers and information service providers

Industry: Media
Revenue growing 50% m.o.m for the last 6 months, #1 popular marketing app on Shopify, Beeketing is a marketing automation platform for e-commerce to convert visitors to loyal paid customers through automation, enables them to sell like Amazon: 1. Learn customer buying habits & interest by tracking behaviors & sales history 2. Increase revenue by recommending the right products at the right time 3. Increase customer retention by automatically create & send personalized marketing emails We understand that it’s hard for small and medium businesses to use big marketing platform like HubSpot, Marketo because they don’t have the resources and marketing mindset. That’s why we built Beeketing – a marketing platform with many simple web apps, backed by a big data, machine learning system that is easy to install, and can automatically work & improve itself, to help SMBs run business more effectively without requiring a big team of marketers & developers + months to run a marketing system.

Industry: Diversified Financial Services
Stockfuse is a revolutionary candidate evaluation and talent development platform for the financial services industry. We employ established gamification technology in a novel way to source, screen, and rank candidates. With a fully automated workflow and a data-driven approach, Stockfuse allows our customers to filter through far more skill-based profiles in less time, producing better hires while lowering churn rates. Stockfuse seamlessly integrates trading, psychology, and machine learning techniques to build trading games that automatically generate multi-dimensional profiles for our users, providing unparalleled insights into their trading style, investment rationales, engagement levels, and even behavioral biases. Partnering with the world’s largest financial institutions, Stockfuse seeks to bring an equitable and meritocratic approach to recruitment.

Seldon is the enterprise-grade machine intelligence platform that help businesses to deploy real-time recommendations and predictions and solve real-world problems faster. Data scientist are in short supply and create the most value when they can focus on solving the domain-specific problems that are unique to their organisation or industry. The problem is many data scientist spend too much time reinventing the wheel because they want control. Seldon provides an open-source data science stack and MLaaS API built on industry-leading technologies such as Apache Spark and Kafka. Our fully integrated solution enables developers and data scientists to deploy an end-to-end scalable machine learning pipeline. The pipeline includes data collection, feature transformation, building and deploying predictive models, serving the results via a REST API and monitoring the impact on core business KPIs.

Industry: Diversified Financial Services
At Spotcap, we are building a highly complex product that automates credit risk decisioning for small business and involves cutting edge machine learning algorithms to analyze thousands of data points in seconds. This is something that has never been done before and will revolutionize the world of SME financing, an industry that in Europe alone is worth 1.7 Trillion Euros. Our team works with the latest technologies, Node Js and Java to build our platform. We are looking for Rockstar engineers with a passion to build software for the long term and help us take Spotcap to the next level.

Industry: Software
libVMR is a class library written in Java which implements code generator for group method of data handling – GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks – vector machine by Reshetov (VMR). The library has been designed to learn from data sets. Typical applications here are pattern recognition ( binary classification).

Industry: Media
PressFriendly is PR Automation software that helps companies build and manage media outreach campaigns. For beginners, we have story builder and consultants to help you in the process. For PR pros, we give the tools to get a campaign up and running in seconds. Our CRM helps track and automate outreach. We build media lists using machine learning and we push media opportunities based on the stories you have in the system. We operate as a PR agencies back office and automate the work they hire new grads to do.

Insightfully is a SaaS platform to help individuals stay in touch with the relationships in their networks. Problem: 1. People are developing huge networks through social apps, but those people end up being archived on social networks. 2. Entrepreneurs and Freelancers don’t have time to read through each tweet, post, and pin to develop interactions to stay in touch. 3. 99% of people cannot hire a relationship assistant to manage their relationships. Insightfully takes social context and develops actionable opportunities of engagement within your network to give and receive help using predictive analytics and cross-platform search. The Insightfully product is a python­-powered web application with Django as the backend and MongoDB as the database. The search engine uses Python’s nltk natural language processing library and machine learning library, scikit­learn. We utilize the power of twitter and LinkedIn’s API’s.

Service that analyzes product reviews to determine if they are fake or not. Fakespot uses machine learning and real-time modification to improve its analysis methods over time. Fakespot currently supports analysis of Amazon product reviews, with support for other websites in the future.

We believe that the real estate market needs to become transparant and information-based. Real Estate has been the trigger in most of the financial crises in the past century. As an opaque, illiquid investment it is also very susceptible to fraud. The OfficeRank platform combines a validated database with all the relevant information for every building, area, city and portfolio. Our powerful tools for analysis and research deliver independent insights that empower our users to create better decisions. Our data platform links every individual building in a country with smart tools to facilitate decision making and to assess risk and market potential. Our OfficeRank™ ranking system offers detailed insight into real estate quality and drives a model valuation tool that uses machine learning to predict current market value. We offer the most comprehensive, relevant and accurate real estate data in the world, combined with the tools to transform that data into information and insight.

Scheduit is an innovative matchmaking app for professionals who want to network in an efficient and productive manner. Scheduit uses a proprietary machine learning algorithm to connect compatible users together for networking purposes. Growing into a professional online network, Scheduit provides its users with opportunities to meet other compatible users by helping them set up face-to-face meetings together. The app can also be used to facilitate networking at conferences and other business events.

This is Toshihiro Kamishima’s homepage. My research interests are recommendation or personalization and techniques of machine learning or data mining are applicable to recommendation, such as fairness-aware data mining, object ranking, supervised clustering.

Industry: Software
BCL’s Financial Text Extraction System (FTES) converts Financial Text to Big Financial Data by applying natural language processing (NLP) and machine learning (ML). BCL’s FTES converts any financial text to Big Financial Data in the form of triples [Financial Item, Financial Value, Date]. This high accuracy conversion can generate output in multiple formats including Spreadsheets, XML and SQL. Take this sentence for example: “In February 2012, the Company purchased the property associated with its former corporate headquarters in Redwood City, California for approximately $148.6 million in cash” BCL’s FTES will instantaneously transform this sentence to [“Property Purchase”, $148.6 million, February 2012]. This allows computer software to easily access Big Financial Data locked in such Financial Text.

Retail is moving online, but it is difficult to purchase and sell scented products online, because we can’t smell through the internet. Scent Trunk is a personalized fragrance subscription We use machine learning to identify exactly what consumers like to smell, powered by a database of over 30,000 fragrances. We work exclusively with niche/indie perfumers to give consumers a higher quality product, they can’t find in any department store. We mine consumer demographic and scent preference data and use it to help brands build better products.